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Flight path soft correlation method based on data correlation thought

A technology of data association and track, which is applied in the field of multi-sensor track association, can solve problems such as complex calculation, large communication volume, and decreased accuracy of track association

Active Publication Date: 2019-04-19
HANGZHOU DIANZI UNIV
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  • Application Information

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Problems solved by technology

However, in this algorithm, the sensor uploads all possible tracks to the fusion center, which requires a large amount of communication and complex calculations
Moreover, in the track association stage, the method uniquely determines a set of track combinations through the method of hypothesis testing, that is, a certain track from sensor a is uniquely associated with a certain track from sensor b, and this method belongs to one-to-one Hard association method, the accuracy rate of track association drops sharply in complex environments

Method used

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  • Flight path soft correlation method based on data correlation thought
  • Flight path soft correlation method based on data correlation thought
  • Flight path soft correlation method based on data correlation thought

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Embodiment Construction

[0061] The specific implementation manner of the present invention will be described in detail below in combination with the technical scheme and accompanying drawings.

[0062] figure 1 It is a flow chart of the track soft association method based on the idea of ​​data association.

[0063] Assumption: There are 2 sensors in the space, namely a and b, and the monitoring areas of the two sensors are the same. In the monitoring area, there are 3 targets moving in a straight line at a uniform speed. When the tracking system tracks the target in the monitoring area, it will generate the target track. while the track contains the track state x k , error covariance P k and target existence probability ψ k . This description is expressed in mathematics as a probability density function, as follows

[0064] p(x k ,χ k |Z k )

[0065] Through the above description, start to carry out the implementation steps of the present invention:

[0066] Step (1), several sensors comp...

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Abstract

The invention discloses a flight path soft correlation method based on a data correlation thought. According to the flight path soft correlation method, one-to-one hard correlation of a traditional correlation algorithm is avoided through soft correlation, the correlation performance can be greatly improved in a complex environment, and the flight path correlation fault tolerance is higher. According to the method, flight paths of an auxiliary sensor are used for measurement, by calculating each flight path correlation probability of the auxiliary sensor, soft correlation is achieved, the flight path of a main sensor is updated, and the flight path soft correlation mode is achieved.

Description

technical field [0001] The invention relates to the field of multi-sensor track correlation, and relates to a track soft correlation method based on data association, which is used to solve the problem of multi-sensor track fusion in complex environments such as high clutter and high missed detection, and can effectively improve the complex environment. In the multi-sensor target tracking problem, the target track is fused to the center to confirm the velocity and reduce the number of false tracks. Background technique [0002] The technical implementation of multi-sensor target tracking in a complex environment is quite complicated. There are generally two system structures for multi-sensor target tracking, which are generally divided into centralized systems and distributed systems. Due to the disadvantages of centralized fusion, such as high communication cost, large amount of calculation, and unstable system operation, distributed systems are generally used as multi-sens...

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Application Information

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IPC IPC(8): G05D1/12G06K9/62
CPCG05D1/12G06F18/22G06F18/251
Inventor 石义芳郭志伟洪帅鑫彭冬亮
Owner HANGZHOU DIANZI UNIV